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TARGETED PROTEOMICS FOR THE DETECTION OF SARS-COV-2 PROTEINS.
Karel Bezstarosti; Mart M Lamers; Wouter AS Doff; Peter C Wever; Khoa TD Thai; Jeroen JA van Kampen; Bart L Haagmans; Jeroen AA Demmers.
Affiliation
  • Karel Bezstarosti; Erasmus University Medical Center
  • Mart M Lamers; Erasmus University Medical Center
  • Wouter AS Doff; Erasmus MC
  • Peter C Wever; Jeroen Bosch Hospital
  • Khoa TD Thai; Star-shl diagnostic laboratories
  • Jeroen JA van Kampen; Erasmus Medical Center
  • Bart L Haagmans; Erasmus University Medical Center
  • Jeroen AA Demmers; Erasmus University Medical Center
Preprint in English | bioRxiv | ID: ppbiorxiv-057810
ABSTRACT
The rapid, sensitive and specific detection of SARS-CoV-2 is critical in responding to the current COVID-19 outbreak. In this proof-of-concept study, we explored the potential of targeted mass spectrometry based (MS) proteomics for the detection of SARS-CoV-2 proteins in both research samples and clinical specimens. First, we assessed the limit of detection for several SARS-CoV-2 proteins by parallel reaction monitoring (PRM) MS in infected Vero E6 cells. For tryptic peptides of Nucleocapsid protein, the limit of detection was in the mid-attomole range (9E-13 g). Next, this PRM methodology was applied to the detection of viral proteins in various COVID-19 patient clinical specimens, such as sputum and nasopharyngeal swabs. SARS-CoV-2 proteins were detected in these samples with high sensitivity in all specimens with PCR Ct values <24 and in several samples with higher CT values. A clear relationship was observed between summed MS peak intensities for SARS-CoV-2 proteins and Ct values reflecting the abundance of viral RNA. Taken together, these results suggest that targeted MS based proteomics may have the potential to be used as an additional tool in COVID-19 diagnostics.
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Full text: Available Collection: Preprints Database: bioRxiv Type of study: Diagnostic study / Prognostic study Language: English Year: 2020 Document type: Preprint
Full text: Available Collection: Preprints Database: bioRxiv Type of study: Diagnostic study / Prognostic study Language: English Year: 2020 Document type: Preprint
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